Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Lead technical architecture and roadmap for tvScientifics ad server independence initiative; coordinate and grow subteams (bidder, index, VAST serving); act as technical DRI for Pinterest integrations; drive shared infrastructure decisions and scale a multidisciplinary engineering organization.

Build and own full-stack, user-facing Pinterest features from ideation and prototyping through testing, scalable implementation, and release. Collaborate with product managers, designers, and backend engineers; write reliable, maintainable code; champion automated testing and quality; propose innovative product ideas; and use AI thoughtfully to improve development speed while validating AI-assisted work.

Lead company-level Ads & Monetization programs, align cross-functional teams, establish accountability and metrics, drive technical strategy and decision frameworks, embed AI into workflows, and mentor TPMs to deliver high-impact, complex initiatives tied to company OKRs.

Lead multi-year identity and product safety programs to protect accounts and reduce abuse. Partner with engineering, product, data science, and policy to define strategy, deliver cross-organizational initiatives, set governance and metrics, and apply AI to accelerate program execution and decision-making.

Drive data-science for people- and business-facing products: establish experimentation and instrumentation best practices, apply statistical and ML methods to web-scale data, build scalable analysis pipelines, and partner cross-functionally to turn insights into product improvements.

Provide executive-level administrative support to Engineering and Product leaders: manage complex global calendars, track OKRs, prepare agendas and decks, coordinate events and travel, handle confidential matters, take meeting notes, and support team morale and budgets while collaborating cross-functionally.

Lead end-to-end development and stewardship of user-centered metrics: define constructs, design and validate surveys, build behavioral proxies and predictive models, guide experiments, evaluate model generalizability and retraining needs, conduct behavioral analyses, set learning agendas, and present findings to senior leadership while partnering across Product, Data Science, and Engineering.

Lead an engineering team to deliver mid-funnel ad products, drive AI initiatives, define technical roadmaps, and maintain team culture.

Lead a TPM organization for Ads Quality & Measurement, set strategy and operating cadence, align cross-functional teams to deliver ML/AI-driven ads and measurement programs, own metrics and accountability frameworks, embed AI to accelerate workflows, and develop a high-performing TPM team.

Technical lead for forecasting: design and deploy production time‑series models at scale, own end‑to‑end modeling lifecycle, set technical vision for forecasting platform, translate forecasts into executive decisions, expand time‑series capabilities (anomaly detection, RCA, attribution), embed forecasts into business processes, and mentor at least two data scientists.